This article describes a pharmacogenetic investigation of nicotine metabolism in twins. One hundred and thirty-nine twin pairs (110 monozygotic and 29 dizygotic) were recruited and assessed for smoking status, zygosity, and health conditions known or suspected to affect drug metabolism. Participants underwent a 30-minute infusion of stable isotope-labeled nicotine and its major metabolite, cotinine, followed by an 8-hour in-hospital stay. Blood and urine samples were taken at regular intervals for analysis of nicotine, cotinine, and metabolites by gas chromatography-mass spectrometry or liquid chromatography-mass spectrometry and subsequent characterization of pharmacokinetic phenotypes. DNA was genotyped to confirm zygosity and for variation in the primary gene involved in nicotine metabolism, CYP2A6. Univariate and multivariate biometric analyses planned for the future will determine genetic and environmental influences on each pharmacokinetic measure individually and in combination with each other, and in the presence and absence of covariates, including measured genotype. When the analyses are completed, this study will result in a more complete characterization of the impact of genetic and environmental influences on nicotine and cotinine metabolic pathways than has heretofore been reported. The approach taken, with its use of a quantitative model of nicotine metabolism, highly refined metabolic phenotypes, measured genotype, and advanced tools for biometric genetic analysis, provides a model for the use of twins in next-generation studies of complex drug-metabolism phenotypes.
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http://dx.doi.org/10.1375/1369052042335269 | DOI Listing |
Chem Biol Interact
January 2025
Department of Community Dental Health, Faculty of Dental Sciences, University of Sri Jayewardenepura, Gangodawila, Nugegoda, Sri Lanka.
Betel quid contains two major ingredients; Areca catechu and Piper betel, often consumed with slaked lime, tobacco, certain flavouring agents, colouring agents, herbs, and spices according to personal preferences. The areca nut alkaloids (arecoline, arecaidine, guvacine, and guvacoline), and tobacco alkaloids (nicotine, nor-nicotine) undergo nitrosation during chewing in the oral cavity with the presence of nitrite and thiocyanate and endogenously. Among the nitrosation products generated areca nut-derived nitrosamine (ADNA): 3-(methylnitrosamino) Propionitrile (MNPN) and the two tobacco-specific nitrosamines (TSNAs); N'-nitrosonornicotine (NNN) and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone) (NNK) are considered Group 1 human carcinogens.
View Article and Find Full Text PDFIntroduction: Smoking cessation is influenced by genetic and environmental factors, particularly genetic polymorphisms influencing nicotine metabolism. This study investigated the association between specific nicotine metabolism-related genetic variants and smoking cessation among Korean men.
Methods: A candidate gene association study was performed targeting single nucleotide polymorphisms (SNPs) within nicotine metabolism-related genes.
Healthcare (Basel)
December 2024
Respiratory Failure Clinic and Sleep Laboratory, General Hospital of Thessaloniki "G. Papanikolaou", Aristotle's University of Thessaloniki, 541 24 Thessaloniki, Greece.
There are many aspects in the relationship between smoking and sleep that have not been investigated thoroughly yet, especially in regards to obstructive sleep apnea-hypopnea syndrome (OSAHS). In this cross-sectional study, 2359 participants, who have visited the sleep clinic of our hospital during a 13-year period and were former or current smokers, were included. Their smoking history, measured in packyears of smoking, and their nicotine dependence, measured with the Fagerström scale, were correlated with various epidemiological and sleep-related variables.
View Article and Find Full Text PDFOncogene
January 2025
Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
Introduction: Those with established symptomatic cardiopulmonary disease should attend secondary prevention programs. Attendance at these programs is known to differ by sex and by smoking status, with females and those who smoke being less likely to attend. However, little is known about whether the risk factors of being female and smoking are cumulative, and how outcomes from secondary prevention differ by these subgroups.
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